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StripeStripeNew York, NY

Treasury Finance AI and Quantitative Analytics, Americas

Build AI-powered tools, quantitative models, autonomous agents, and analytics to automate treasury workflows, enhance risk management, and deliver insights at Stripe. Requires 6-8 years experience, Python proficiency, AI/ML frameworks, and treasury/finance expertise.

Salary not listed
On-site6+ YOEML Engineering

About the role

Responsibilities

  • Apply treasury and finance domain expertise to identify high-impact opportunities where AI can be integrated with quantitative tools to solve complex treasury challenges.
  • Build AI-powered tools and artificial intelligence solutions to automate treasury workflows, enhance risk management, and scale operations.
  • Ship interactive data products and self-service analytics tools using Python frameworks (Streamlit, Dash, Gradio) that provide real-time treasury insights and actionable intelligence.
  • Work across Treasury Finance and partner teams to scope AI-driven solutions that allow optimization and scaling of complex, data-driven financial workflows.
  • Develop targeted observability and performance analytics for core treasury workstreams, providing key insights to senior leadership.
  • Leverage heterogeneous and unstructured data to develop business insights and recommendations.
  • Collaborate with data scientists and engineers to build data pipelines, models, and infrastructure for core treasury workstreams.

Minimum Requirements

  • Bachelor’s degree in finance, mathematics, statistics, economics, engineering, or a related technical field.
  • 6–8 years of work experience in software development, data science, or treasury and finance roles.
  • Working familiarity with financial risk and capital markets concepts.
  • Proficiency in Python and experience with AI/ML frameworks including PyTorch and TensorFlow.
  • Experience with Large Language Model (LLM) frameworks such as LangChain, LangGraph, or similar tools for building AI applications and agentic systems.
  • Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI.
  • Results-oriented, with a focus on delivering impact in a fast-paced environment.
  • Excellent communication skills for collaborating with finance, product, and engineering teams.
  • Highly organized, with attention to detail and the ability to manage tight deadlines.

Preferred Qualifications

  • Familiarity with the payments industry and fintech landscape.
  • Experience with Databricks and cloud platforms (AWS, GCP, Azure).
  • Good understanding of development processes and best practices across engineering standards, code reviews, and testing.

Skills

PythonPyTorchTensorFlowLangChainLangGraphstreamlitdashgradioAWSGCPAzureDatabricks

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